Stamping is a production method that is prone to safety accidents. According to relevant information, personal accidents on punching press machines are three times higher than those in the general machinery industry. With the promulgation of the Labor Safety Law, many manufacturers have taken many safety protection measures to protect the safety of workers. However, most companies still use the manual operation method of directly loading and unloading parts in the stamping die when using stamping methods for production. In this case, if the stamping press and stamping die do not have safety protection devices, personal safety accidents are very likely to occur.

The best solution now is to use the intelligent stamping visual recognition system.

1. The intelligent stamping forming visual inspection instrument has the "AI" algorithm to automatically collect modeling functions, which greatly facilitates machine adjustment and improves work efficiency. When establishing a standard comparison template, after starting the "AI" function, there is no need to stop the machine. The system will automatically combine multiple slightly different but OK pictures according to statistical matching, feature values, similarity, grayscale values, etc. to establish a visual standard model based on the set relevant parameters; conventional monitors do not have this function. After each alarm shutdown, it is necessary to manually check the mold cavity to determine whether the picture is OK, then choose to accumulate or cancel, and finally reset and start the punching machine. The operation is troublesome and affects production.

2. The intelligent software algorithm is a true deep learning algorithm. It can accumulate N standard pictures (the number of pictures can be set arbitrarily) and integrate them into a model. This algorithm significantly reduces the false alarm rate for metal stamping forming detection and ensures the detection speed. Conventional visual recognition can only perform simple image comparison, and cannot integrate multiple accumulated standard pictures into a model. This algorithm limits the types and efficiency of product detection, is prone to false alarms or missed detections, and seriously affects the production rhythm and efficiency.

3. Accurate to milliseconds, monitor the abnormal conditions of the upper and lower dies of the punch and promptly alarm and control the stop to avoid die pressing. Conventional monitors can only monitor the lower die.

4. Automatic focus function, find the best focal length parameters through computer calculation. Conventional solutions can only adjust the focal length manually, which is convenient to operate and fast to adjust.

5. Intelligent stamping forming visual inspection instrument can provide the function of remotely viewing the monitoring status of the monitor. Through the mobile phone APP developed by our company, you can remotely view the power-on and power-off records, operation records, alarm records, view NG images, and view monitoring statistics for each monitor in real time. It is convenient for the company's management to track and manage the use of monitors.

Real-time online detection of whether there are abnormalities on the mold surface during the production process to prevent mold pressing and injury to achieve the purpose of reducing costs and increasing efficiency. The main inspections are as follows:

1. Check whether there are residual materials, punches, products (including hands entering the working area) left in the upper and lower die;

2. Check whether the material belt of the continuous stamping die is delivered in place;

3. Check whether there are missing punching holes;

4 Other abnormal problems